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2.292

Data Scientist-Jobs in Großbritannien

Databricks Data Engineer

NTT America, Inc.

City Of London
Hybrid
GBP 70.000 - 90.000
Vor 30+ Tagen
Ich möchte über neue Stellenangebote mit dem Stichwort „Data Scientist“ benachrichtigt werden.

Lead Data Analyst

Flint Bishop Solicitors

East Midlands
Vor Ort
GBP 40.000 - 55.000
Vor 30+ Tagen

Data Engineer

Winton

City Of London
Vor Ort
GBP 70.000 - 90.000
Vor 30+ Tagen

Senior Data Analyst

RELX INC

City Of London
Vor Ort
GBP 55.000 - 75.000
Vor 30+ Tagen

Data Engineer

UNAVAILABLE

City Of London
Hybrid
GBP 50.000 - 70.000
Vor 30+ Tagen
discover more jobs illustrationEntdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdecken

Senior AWS Data Engineer - London/Hybrid - up to 130k

Jefferson Frank

City Of London
Hybrid
GBP 110.000 - 130.000
Vor 30+ Tagen

Data Engineer (SC)

Sanderson Government & Defence

City Of London
Hybrid
GBP 60.000 - 80.000
Vor 30+ Tagen

Data Engineer

Different Technologies Pty Ltd.

City Of London
Hybrid
GBP 45.000 - 65.000
Vor 30+ Tagen
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Senior Data Engineer - OnTheMarket Technology - London

costar

City Of London
Vor Ort
GBP 60.000 - 80.000
Vor 30+ Tagen

Data Engineer (Snowflake)

Computacenter

City Of London
Vor Ort
GBP 60.000 - 80.000
Vor 30+ Tagen

APP Data Analyst

Burberry

City Of London
Vor Ort
GBP 35.000 - 50.000
Vor 30+ Tagen

Lead AI Consultant

Hitachi Solutions

City Of London
Hybrid
GBP 70.000 - 90.000
Vor 30+ Tagen

AI Consultant

Tenth Revolution Group

East Midlands
Remote
GBP 80.000 - 100.000
Vor 30+ Tagen

Data Engineer

SeedLegals

City Of London
Hybrid
GBP 50.000 - 70.000
Vor 30+ Tagen

UK - Financial Crime Data Analyst (SQL & Large data sets)

Capitex

Großbritannien
Remote
GBP 40.000 - 60.000
Vor 30+ Tagen

Graduate Data Analyst - London

Grayce

City Of London
Vor Ort
GBP 25.000 - 31.000
Vor 30+ Tagen

Senior Data Engineer

Moneybox

City Of London
Hybrid
GBP 60.000 - 80.000
Vor 30+ Tagen

Senior Data Engineer (Governance & Compliance)

Trustpilot

City Of London
Vor Ort
GBP 80.000 - 100.000
Vor 30+ Tagen

Sr. AI Data Engineer (UK Remote)

Turnitin, LLC

Newcastle upon Tyne
Remote
GBP 60.000 - 80.000
Vor 30+ Tagen

Staff Security Engineer (Data Specialist)

OVO Energy

City Of London
Hybrid
GBP 72.000 - 95.000
Vor 30+ Tagen

Fire Alarm Engineer

MacStaff

East Hampshire
Vor Ort
GBP 38.000 - 39.000
Vor 30+ Tagen

Junior Data Engineer

Chelsea FC

City Of London
Hybrid
GBP 30.000 - 45.000
Vor 30+ Tagen

Affiliate Data Analyst

MBG Digital Agency LTD

City Of London
Remote
GBP 40.000 - 60.000
Vor 30+ Tagen

Senior Data Engineer - ClimateTech - UK based - Remote/Hybrid - 75-95k DOE + Equity

Futureheads

City Of London
Hybrid
GBP 60.000 - 80.000
Vor 30+ Tagen

Data Engineer

Adarga Ltd

City Of London
Hybrid
GBP 60.000 - 80.000
Vor 30+ Tagen

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Databricks Data Engineer
NTT America, Inc.
City Of London
Hybrid
GBP 70.000 - 90.000
Vollzeit
Vor 30+ Tagen

Zusammenfassung

A leading global technology firm in City Of London is seeking a highly skilled Databricks Data Engineer to design and implement data solutions. This role involves developing scalable data pipelines, optimizing architectures, and ensuring high client satisfaction. The ideal candidate will have 5-8 years in data engineering, strong skills in Databricks, SQL, and Python, along with excellent problem-solving abilities. Flexible work options and a commitment to inclusion are part of the offer.

Leistungen

Tailored benefits
Learning and development opportunities
Flexible work options

Qualifikationen

  • 5-8 years in data engineering or data architecture roles.
  • 3+ years working with Databricks.
  • Hands-on expertise across the data lifecycle.

Aufgaben

  • Design and implement robust ETL/ELT workflows.
  • Integrate real-time and batch data sources.
  • Develop scalable data pipelines aligned to client requirements.

Kenntnisse

Data Pipeline Development
Databricks
Client Engagement
Data Modelling
Problem-Solving

Ausbildung

University degree
BSc/MSc in Computer Science or related field

Tools

Databricks
SQL
Python
AWS
Git
Jobbeschreibung
Overview

The team you'll be working with:

We are seeking a highly skilled Databricks Data Engineer to join our Data & AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.

As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.

What you'll be doing
Primary Responsibilities
  • Client Engagement & Delivery
  • Data Pipeline Development (Batch and Streaming)
  • Databricks & Lakehouse Architectures
  • Data Modelling & Optimisation (Delta Lake, Medallion architecture)
  • Collaboration & Best Practices
  • Quality, Governance & Security
Business Relationships
  • Solution Architects
  • Data Engineers, Developers, ML Engineers, and Analysts
  • Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
What experience you'll bring
Competencies / Critical Skills
  • Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.
  • Strong consulting values with ability to collaborate effectively in client-facing environments.
  • Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
  • Strong problem-solving, analytical, and communication skills.
  • Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.
Technical Expertise
  • Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).
  • Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
  • Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with Databricks Workflows and other orchestration tools.
  • Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
  • Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
  • Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
  • Understanding of data governance, security, and compliance frameworks.
  • Exposure to AI/ML workloads desirable.
Qualifications, and Education
  • Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
  • Education: University degree required.
  • Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
  • Databricks certifications (Data Engineer Professional) highly desirable.
Measures of Success
  • Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
  • High client satisfaction and successful adoption of Databricks-based solutions.
  • Demonstrated ability to innovate and improve data engineering practices.
  • Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
Who we are

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA (https://uk.nttdata.com/creating-inclusion-together)

what we'll offer you

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.

You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/

We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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